Near real-time data on the human neutralizing antibody landscape to influenza virus to inform vaccine-strain selection in September 2025

In a new study led by Caroline Kikawa and recently posted on bioRxiv, we use a new high-throughput method to measure ~26,000 neutralizing antibody titers that help capture the current human neutralizing antibody landscape to influenza. We think these data can enable better evolutionary / epidemiological forecasting for purposes like influenza vaccine strain selection.


This dataset was posted in time for the upcoming Southern Hemisphere influenza vaccine-strain selection, and represents a real tour de force effort by Caroline. We're planning to repeat similar efforts in the next 6 months for the next vaccine-strain selection.

For more details, see:

All the data are available at https://github.com/jbloomlab/flu-seqneut-2025.